# Loomscope

> Loomscope — crapthings-agent-loom. Use this tool when you need to monitor and track Codex work progress in a secure and organized manner. Loomscope provides a password-protected dashboard and remote observation capabilities, allowing users to record task milestones and generate concise reports. It is ideal for managing complex projects and workflows that require precise tracking and documentation.

Canonical page: https://skillsregistry.net/skills/crapthings-agent-loom  
JSON: https://api.skillsregistry.net/v1/skills/crapthings-agent-loom

## Description

Password-protected dashboard and Remote MCP observer for Codex work, recording concise task milestones via observe_start, observe_report, and observe_finish tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nxtfkkzwbb)
- **Repository:** <https://github.com/crapthings/agent-loom>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "crapthings-agent-loom"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/crapthings-agent-loom` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/crapthings-agent-loom/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt